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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A new hybrid recurrent artificial neural network for time series forecasting
Erol Eğrioğlu, Eren Baş
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2855-2865
Closed Access | Times Cited: 13

Showing 13 citing articles:

Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Yuanyuan Yu, Yu Lin, Xianping Hou, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120880-120880
Closed Access | Times Cited: 24
EMDFormer model for time series forecasting
Ana Lazcano, Miguel A. Jaramillo-Morán, Julio E. Sandubete
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 9419-9434
Open Access | Times Cited: 6
A new deep neural network for forecasting: Deep dendritic artificial neural network
Erol Eğrioğlu, Eren Baş
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 5
Strategic Forecasting for Electric Vehicle Sales: A Cutting Edge Holistic Model Leveraging Key Factors and Machine Learning Technique
Sachin Kumar, Vinay Singh, Rachit Goel
Transportation in Developing Economies (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 2
Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making
Martha Ramírez, Patricia Melín, Oscar Castillo
Axioms (2023) Vol. 12, Iss. 10, pp. 906-906
Open Access | Times Cited: 6
Forecasting Implementation of Hybrid Time Series and Artificial Neural Network Models
Daisy Lou L. Polestico, Art Louie Bangcale, Lemuel Clark Velasco
Procedia Computer Science (2024) Vol. 234, pp. 230-238
Open Access | Times Cited: 1
A Performance Comparison of Neural Networks and Fuzzy Systems for Time Series Forecasting
Jeong Hee Woong
Journal of Machine and Computing (2024), pp. 94-104
Open Access
Modular Perspective for Population and Gross National Income Time Series Prediction Using a Neural Network Model: A Case Study of OECD Member Countries
Martha Ramírez, Patricia Melín
Studies in computational intelligence (2024), pp. 63-71
Closed Access
Classification of Consumption Level in Developing Countries for Time Series Prediction Using a Hierarchical Nested Artificial Neural Network Method
Martha Ramírez, Patricia Melín
Studies in computational intelligence (2024), pp. 55-65
Closed Access
A New Hybrid Approach for Clustering, Classification, and Prediction of World Development Indicators Combining General Type-2 Fuzzy Systems and Neural Networks
Martha Ramírez, Patricia Melín, Oscar Castillo
Axioms (2024) Vol. 13, Iss. 6, pp. 368-368
Open Access
Algorithm for detecting abnormal electricity usage by customers based on electricity big data and deep learning
Hongwei Xu, Junrong Wang, Chaoxiang Liu
Journal of Physics Conference Series (2024) Vol. 2814, Iss. 1, pp. 012043-012043
Open Access
Introduction to Prediction with Neural Networks
Patricia Melín, Martha Ramírez, Oscar Castillo
SpringerBriefs in applied sciences and technology (2024), pp. 1-8
Closed Access
Hybrid Preprocessing for Neural Network-Based Stock Price Prediction
Jian-Lei Li, Weimei Shi
Heliyon (2024) Vol. 10, Iss. 24, pp. e40819-e40819
Closed Access
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